Screenshot Beautifier

Wrap screenshots in gorgeous backgrounds with browser chrome frames, shadows & rounded corners.

100% private

Drop a screenshot onto a gradient or solid background, add a browser-window frame, round the corners, and apply a soft shadow — the look that makes a product screenshot feel like a hero image rather than a Slack paste. Useful for marketing pages, social posts about a new feature, and changelog visuals. The compositing happens on Canvas in your browser, so unreleased UI screenshots aren't routed through a third-party design service for the polish.

100% local — screenshots never leave your device.

Drop or tap to beautify screenshot

JPG, PNG, WEBP — multiple files supported

🔒 Processed via JavaScript in your tab

Runs right inside your browser tab. No uploads. Your files stay private.

Polish Plain Screenshots With Backgrounds, Shadows, And Frames

Screenshot Beautifier composites plain screenshots onto styled backdrops using the Canvas 2D API. The original screenshot is decoded into an HTMLImageElement, drawn into a larger output Canvas with configurable padding, given rounded corners through Canvas's roundRect path method, and stamped with a drop shadow drawn via shadowBlur, shadowColor, and shadowOffsetY before the screenshot is rendered.
Backdrops are flexible. Solid colours fill the Canvas with a single fillRect call. Linear and radial gradients are built with createLinearGradient and createRadialGradient using user-tunable colour stops. Mesh-style gradients are approximated by stacking two or three radial gradients with different centres, which produces the soft Instagram-style backdrops popular for product launch screenshots.
Padding (0–120 px), corner radius (0–32 px), and shadow spread (0–80 px) are expressed as fixed pixel values, so they remain consistent across uploads regardless of image size. Larger screenshots will therefore show proportionally thinner borders; if you upload a mix of sizes in one batch, you may want to adjust the sliders per set.
An optional browser chrome frame can be drawn around the screenshot. The macOS and Browser frame options render a toolbar bar using Canvas 2D path calls — drawRoundRect for the bar background, arcs for the traffic-light dots, and a rounded rectangle for the URL pill. No external image assets are composited; the chrome is generated entirely in code. This gives the screenshot the look used by most SaaS product pages.
Batch processing is supported by queueing multiple screenshots through the same beautifier pipeline with one set of settings. Outputs can be downloaded individually or as a ZIP. Each beautified file is encoded once with Canvas toDataURL as PNG, which keeps text crisp and avoids JPEG compression artefacts on UI elements with hard edges.
There is no AI involved. The tool uses deterministic Canvas operations, which means the output is reproducible: the same input plus the same slider values always produces the same output, byte-for-byte. That predictability matters when you need consistent screenshot sets across documentation pages.
Everything runs locally — the input screenshots, the Canvas compositing, and the export. No image bytes are uploaded, which is helpful because screenshots often contain confidential UI from internal dashboards, beta products, or customer accounts.

Common Use Cases

01

Twitter and LinkedIn announcements

Make product screenshots look stunning for launch threads on X, LinkedIn posts, and reshared content where the screenshot's visual quality drives engagement.

02

Blog and documentation polish

Add clean backdrops and consistent rounded corners to UI screenshots so technical documentation reads as cohesive across pages.

03

Product Hunt gallery screenshots

Create gallery-ready screenshots that fit Product Hunt's recommended dimensions and look at home next to other featured launches.

04

App Store and Play Store assets

Add gradient backdrops, rounded corners, and a browser chrome frame to mobile app screenshots for store listings without opening Sketch or Figma.

Frequently Asked Questions

Solid colours use Canvas fillRect. Linear and radial gradients use createLinearGradient and createRadialGradient with user-tunable colour stops. Mesh-style backgrounds stack two or three radial gradients to approximate the soft Instagram-style look.
Yes. The macOS and Browser frame options draw a toolbar bar directly using Canvas 2D path calls — no external PNG assets are loaded. The bar includes traffic-light dots and a URL pill. There are no phone or tablet device frames.
Canvas's shadowBlur, shadowColor, and shadowOffsetY properties are set on the context before drawing the screenshot's rounded-rectangle path. The browser handles the actual blur calculation natively, which is GPU-accelerated on most modern systems.
Yes. Drop several files in, set one consistent style, and the tool applies it to each. Download individually or as a ZIP.
No. The tool runs Canvas operations in the page itself, never on a server. Screenshots often contain confidential UI, so the privacy-first pipeline matters: nothing is uploaded, even temporarily.
PNG. Canvas toDataURL always encodes as PNG, which keeps text crisp and avoids JPEG compression artefacts on UI elements with hard edges. If you need a smaller file, pass the PNG through Image Compressor after downloading.
Yes. The tool reads the source's actual pixel dimensions (which are 2x or 3x the logical size on Retina captures) and renders the output at the same resolution. Text stays sharp on high-DPI displays without manual scaling.
Not yet — copy the slider values down or take a screenshot of the panel. Persistent style profiles are on the roadmap.
About 50 megapixels per screenshot on desktop browsers. Mobile Safari caps tighter; for very large captures, downscale first with Image Resizer.
The preview Canvas is rendered at the display size of your viewport; the export renders at full output resolution. Tiny differences in shadow blur or gradient banding can appear because of resolution, not because the renderer differs — the algorithms are identical.
Maintained by the WebToolVerse teamLast updated Suggest an edit

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